4.7 Article

Simulation of nitrate reduction in groundwater - An upscaling approach from small catchments to the Baltic Sea basin

Journal

ADVANCES IN WATER RESOURCES
Volume 111, Issue -, Pages 58-69

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.advwatres.2017.10.024

Keywords

Nitrate reduction; Groundwater; Modeling; Spatially targeted regulation; Upscaling

Funding

  1. BONUS
  2. joint Baltic Sea research and development programme [185]
  3. EU's Seventh Programme for research, technological development and demonstration
  4. Innovation Fund Denmark
  5. Swedish Environmental Protection Agency
  6. Polish National Centre for Research and Development
  7. German Ministry for Education and Research
  8. Russian Foundation for Basic Researches (RFBR)

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This paper describes a modeling approach proposed to simulate the impact of local-scale, spatially targeted N-mitigation measures for the Baltic Sea Basin. Spatially targeted N-regulations aim at exploiting the considerable spatial differences in the natural N-reduction taking place in groundwater and surface water. While such measures can be simulated using local-scale physically-based catchment models, use of such detailed models for the 1.8 million km(2) Baltic Sea basin is not feasible due to constraints on input data and computing power. Large-scale models that are able to simulate the Baltic Sea basin, on the other hand, do not have adequate spatial resolution to simulate some of the field-scale measures. Our methodology combines knowledge and results from two local-scale physically-based MIKE SHE catchment models, the large-scale and more conceptual E-HYPE model, and auxiliary data in order to enable E-HYPE to simulate how spatially targeted regulation of agricultural practices may affect N-loads to the Baltic Sea. We conclude that the use of E-HYPE with this upscaling methodology enables the simulation of the impact on N-loads of applying a spatially targeted regulation at the Baltic Sea basin scale to the correct order-of-magnitude. The E-HYPE model together with the upscaling methodology therefore provides a sound basis for large-scale policy analysis; however, we do not expect it to be sufficiently accurate to be useful for the detailed design of local-scale measures.

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